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Primeur weekly 2021-01-11

Exascale supercomputing

Preparing an earthquake risk assessment application for exascale ...

Quantum computing

A bit too much: reducing the bit width of Ising models for quantum annealing ...

The world's first integrated quantum communication network ...

Focus on Europe

GBP 20 million funding boost for science supercomputer will drive science simulation and UK-wide innovation ...

Northern Data acquires data centre site in Northern Sweden fully powered by green energy ...

Research and Markets to issue report on High Performance Computing (HPC) Market by Component, Deployment Type, Organization Size, Server Prices Band, Application Area, and Region - Global Forecast to 2025 ...

Environmental researchers benefit from powerful supercomputer at Plymouth Marine Laboratory ...

Middleware

XSEDE welcomes new service providers ...

Hardware

IBM appoints Gary D. Cohn as Vice Chairman ...

IBM appoints Martin Schroeter as CEO of "NewCo" independent managed infrastructure services business to spin out from IBM ...

Light-based processors boost machine-learning processing ...

E4 Computer Engineering announces University of Pisa as the first customer of Ultrafast Storage, Totally Integrated (USTI), the new solution for high performance distributed block storage ...

Existing Northern Data bitcoin mining customer expands contract volume by more than 200 MW ...

Power XL Pro launched as new professional server based on AMD EPYC technology ...

Swinburne-led research team demonstrates world's fastest optical neuromorphic processor ...

Applications

Supercomputer models describe chloride's role in corrosion ...

HPC-AI Advisory Council to host HPC AI AC Conference in Japan on January, 26 ...

Insights through atomic simulation ...

Advanced materials in a snap ...

New data-driven global climate model provides projections for urban environments ...

Frequency data for stable power supply ...

Physicists observe competition between magnetic orders ...

UTSA Artificial Intelligence Consortium receives over $1 million in research funding ...

Entangling electrons with heat ...

NIO partners with NVIDIA to develop a new generation of automated driving electric vehicles ...

Navantia leverages Ansys' digital transformation solutions to design next-gen naval vessels ...

Engineering graduate student places second in international research competition ...

The Cloud

Covid-19 genome sequencing project gets major upgrade ...

IBM provides Harris-Stowe State University with $2 million in Artificial Intelligence and open hybrid Cloud technology resources to help students build modern skills ...

IBM and Avertra collaborate to drive digital transformation for energy & utilities clients with IBM Cloud ...

UJET CCaaS Cloud contact centre now available on Oracle Cloud Marketplace ...

Swinburne-led research team demonstrates world's fastest optical neuromorphic processor


Dr. Xingyuan (Mike) Xu holds one of the optical micro-combs used in achieving the world's fastest neuromorphic processor for artificial intelligence. Credit: Swinburne University of Technology.
6 Jan 2021 Victoria - An international team of researchers led by Swinburne University of Technology has demonstrated the world's fastest and most powerful optical neuromorphic processor for artificial intelligence (AI), which operates faster than 10 trillion operations per second (TeraOPs/s) and is capable of processing ultra-large scale data.

Published in the prestigious journal Nature , this breakthrough represents an enormous leap forward for neural networks and neuromorphic processing in general.

Artificial neural networks, a key form of AI, can 'learn' and perform complex operations with wide applications to computer vision, natural language processing, facial recognition, speech translation, playing strategy games, medical diagnosis and many other areas. Inspired by the biological structure of the brain's visual cortex system, artificial neural networks extract key features of raw data to predict properties and behaviour with unprecedented accuracy and simplicity.

Led by Swinburne's Professor David Moss, Dr. Xingyuan (Mike) Xu from Swinburne and Monash University, and Distinguished Professor Arnan Mitchell from RMIT University, the team achieved an exceptional feat in optical neural networks: dramatically accelerating their computing speed and processing power.

The team demonstrated an optical neuromorphic processor operating more than 1000 times faster than any previous processor, with the system also processing record-sized ultra-large scale images - enough to achieve full facial image recognition, something that other optical processors have been unable to accomplish.

"This breakthrough was achieved with 'optical micro-combs', as was our world-record internet data speed reported in May 2020", stated Professor Moss, Director of Swinburne's Optical Sciences Centre and recently named one of Australia's top research leaders in physics and mathematics in the field of optics and photonics byThe Australian.

While state-of-the-art electronic processors such as the Google TPU can operate beyond 100 TeraOPs/s, this is done with tens of thousands of parallel processors. In contrast, the optical system demonstrated by the team uses a single processor and was achieved using a new technique of simultaneously interleaving the data in time, wavelength and spatial dimensions through an integrated micro-comb source.

Micro-combs are relatively new devices that act like a rainbow made up of hundreds of high-quality infrared lasers on a single chip. They are much faster, smaller, lighter and cheaper than any other optical source.

"In the 10 years since I co-invented them, integrated micro-comb chips have become enormously important and it is truly exciting to see them enabling these huge advances in information communication and processing. Micro-combs offer enormous promise for us to meet the world's insatiable need for information", Professor Moss stated.

"This processor can serve as a universal ultrahigh bandwidth front end for any neuromorphic hardware - optical or electronic based - bringing massive-data machine learning for real-time ultrahigh bandwidth data within reach", stated co-lead author of the study, Dr. Xu, Swinburne alum and postdoctoral fellow with the Electrical and Computer Systems Engineering Department at Monash University.

"We're currently getting a sneak-peak of how the processors of the future will look. It's really showing us how dramatically we can scale the power of our processors through the innovative use of microcombs", Dr. Xu explained.

RMIT's Professor Mitchell added: "This technology is applicable to all forms of processing and communications - it will have a huge impact. Long term we hope to realise fully integrated systems on a chip, greatly reducing cost and energy consumption."

"Convolutional neural networks have been central to the artificial intelligence revolution, but existing silicon technology increasingly presents a bottleneck in processing speed and energy efficiency", stated key supporter of the research team, Professor Damien Hicks, from Swinburne and the Walter and Elizabeth Hall Institute.

He added: "This breakthrough shows how a new optical technology makes such networks faster and more efficient and is a profound demonstration of the benefits of cross-disciplinary thinking, in having the inspiration and courage to take an idea from one field and using it to solve a fundamental problem in another."

The international research collaboration was led by Professor David Moss, Swinburne; Dr. Xingyuan (Mike) Xu, Swinburne and Monash, and Distinguished Professor Arnan Mitchell, RMIT with key support from Mengxi Tan and Dr. Jiayang Wu, Swinburne; Professor Damien Hicks, Swinburne and Walter and Elizabeth Hall Institute (WEHI); Andrea Boes and Thach G. Nguyen, RMIT; Dr. Bill Corcoran, Monash; Sai T. Chu, City University of Hong Kong; Brent Little, Xi'an Institute of Optics; and Roberto Morandotti, INRS in Montreal, Canada.
Source: Monash University

Back to Table of contents

Primeur weekly 2021-01-11

Exascale supercomputing

Preparing an earthquake risk assessment application for exascale ...

Quantum computing

A bit too much: reducing the bit width of Ising models for quantum annealing ...

The world's first integrated quantum communication network ...

Focus on Europe

GBP 20 million funding boost for science supercomputer will drive science simulation and UK-wide innovation ...

Northern Data acquires data centre site in Northern Sweden fully powered by green energy ...

Research and Markets to issue report on High Performance Computing (HPC) Market by Component, Deployment Type, Organization Size, Server Prices Band, Application Area, and Region - Global Forecast to 2025 ...

Environmental researchers benefit from powerful supercomputer at Plymouth Marine Laboratory ...

Middleware

XSEDE welcomes new service providers ...

Hardware

IBM appoints Gary D. Cohn as Vice Chairman ...

IBM appoints Martin Schroeter as CEO of "NewCo" independent managed infrastructure services business to spin out from IBM ...

Light-based processors boost machine-learning processing ...

E4 Computer Engineering announces University of Pisa as the first customer of Ultrafast Storage, Totally Integrated (USTI), the new solution for high performance distributed block storage ...

Existing Northern Data bitcoin mining customer expands contract volume by more than 200 MW ...

Power XL Pro launched as new professional server based on AMD EPYC technology ...

Swinburne-led research team demonstrates world's fastest optical neuromorphic processor ...

Applications

Supercomputer models describe chloride's role in corrosion ...

HPC-AI Advisory Council to host HPC AI AC Conference in Japan on January, 26 ...

Insights through atomic simulation ...

Advanced materials in a snap ...

New data-driven global climate model provides projections for urban environments ...

Frequency data for stable power supply ...

Physicists observe competition between magnetic orders ...

UTSA Artificial Intelligence Consortium receives over $1 million in research funding ...

Entangling electrons with heat ...

NIO partners with NVIDIA to develop a new generation of automated driving electric vehicles ...

Navantia leverages Ansys' digital transformation solutions to design next-gen naval vessels ...

Engineering graduate student places second in international research competition ...

The Cloud

Covid-19 genome sequencing project gets major upgrade ...

IBM provides Harris-Stowe State University with $2 million in Artificial Intelligence and open hybrid Cloud technology resources to help students build modern skills ...

IBM and Avertra collaborate to drive digital transformation for energy & utilities clients with IBM Cloud ...

UJET CCaaS Cloud contact centre now available on Oracle Cloud Marketplace ...